A smart decision support system to diagnose arrhythymia using ensembled ConvNet and ConvNet-LSTM model
Shamik Tiwari(University of Petroleum and Energy Studies), Majid Nour(King Abdulaziz University), Varun Sapra(University of Petroleum and Energy Studies), Adi Alhudhaif(Prince Sattam Bin Abdulaziz University), Kemal Polat(Bolu Abant İzzet Baysal University), Anurag Jain(Command Hospital), Fayadh Alenezi(Jouf University), Deepika Koundal(University of Eastern Finland)
Cited by 57
Related Papers
A Novel Medical Diagnosis model for COVID-19 infection detection based on Deep Features and Bayesian Optimization
|Applied Soft Computing|2020|324
The effect of crosslinking temperature on the permeability of PDMS membranes: Evidence of extraordinary CO2 and CH4 gas permeation
|Separation and Purification Technology|2013|167
The Effect of Training and Testing Process on Machine Learning in Biomedical Datasets
|Mathematical Problems in Engineering|2020|157
Healthcare Applications Using Blockchain Technology: Motivations and Challenges
|IEEE Transactions on Engineering Management|2022|116
CNT/PDMS composite membranes for H2 and CH4 gas separation
|International Journal of Hydrogen Energy|2013|112